DBMS > Redis vs. Sqrrl vs. ToroDB

System Properties Comparison Redis vs. Sqrrl vs. ToroDB

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Editorial information provided by DB-Engines

Name

Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.

Description

In-memory data structure store, used as database, cache and message broker info

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Adaptable, secure NoSQL built on Apache Accumulo

A MongoDB-compatible JSON document store, built on top of PostgreSQL

Primary database model

Key-value store info

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Document store
Graph DBMS
Key-value store
Wide column store

Document store

Secondary database models

Document store info

with Redis Modules
Graph DBMS info

with Redis Modules
Search engine info

with Redis Modules
Time Series DBMS info

with Redis Modules

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	145.64
Rank	#8	Overall
	#1	Key-value stores

Score	0.05
Rank	#315	Overall
	#41	Document stores

Website

redis.io

sqrrl.com

www.torodb.com

Technical documentation

redis.io/documentation

www.torodb.com/stampede/docs

Developer

Salvatore Sanfilippo info

Development sponsored by Redis Labs

Amazon

originally Sqrrl Data, Inc.

8Kdata

Initial release

2009

2012

2016

Current release

6.0.1, May 2020

License

Commercial or Open Source

Open Source info

BSD 3-Clause, commercial license available

commercial

Open Source info

AGPL-V3

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

BSD
Linux
OS X
Windows info

ported and maintained by Microsoft Open Technologies, Inc.

Linux

All OS with a Java 7 VM

Data scheme

schema-free

Typing

predefined data types such as float or date

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

yes

string, integer, double, boolean, date, object_id

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

with RediSearch module

yes

SQL

Support of SQL

APIs and other access methods

proprietary protocol info

RESP - REdis Serialization Protocol

Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift

Supported programming languages

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Actionscript
C info

using GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk

Server-side scripts info

Stored procedures

Lua

Triggers

Partitioning methods info

Methods for storing different data on different nodes

Sharding

making use of Hadoop

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-slave replication info

Chained replication is supported
Multi-master replication info

with Redis Enterprise Pack

selectable replication factor info

making use of Hadoop

Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Strong eventual consistency with CRDTs

Immediate Consistency info

Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.

Eventual Consistency
Immediate Consistency

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Optimistic locking, atomic execution of commands blocks and scripts

Atomic updates per row, document, or graph entity

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

yes

Durability info

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

Simple password-based access control info

Access control lists and SSL are available in the commercial version

Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

Access rights for users and roles

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